--- license: mit --- # MobilePoG: Benchmark for Mobile Point-of-Gaze Calibration.

Teaser

arXiv Project Page
# Dataset Summary

Figure 1: Collection procedure of the MobilePoG dataset.

MobilePoG was introduced in the paper "Pose-Robust Calibration Strategy for Point-of-Gaze Estimation on Mobile Phones" (BMVC 2025). It was collected and curated to support research on point-of-gaze estimation and calibration, with the primary goal of enabling valid evaluation of personalized calibration under varying points-of-gaze and head poses. # Dataset Structure ``` Static-MobilePoG -{subject}_{pose} --frames ---00000.jpg ---00001.jpg ... --camera.json # camera parameters --face.json # facial landmarks --headpose.json # headposes (pitch, yaw, roll) --info.json # information about subject, pose, dataset split --label.json # point-of-gaze labels -{subject}_{pose} ... Dynamic-MobilePoG -{subject}_{pog} --frames ---00000.jpg ---00001.jpg ... --camera.json # camera parameters --face.json # facial landmarks --headpose.json # headposes (pitch, yaw, roll) --info.json # information about subject, point-of-gaze, dataset split --label.json # point-of-gaze labels -{subject}_{pog} ... ``` # Dataset Examples

Figure 2: Examples of the Static-MobilePoG dataset.

Figure 3: Examples of the Dynamic-MobilePoG dataset.

# Citation Researchers using this dataset are kindly requested to cite the following reference: ```bibtex @misc{zhao2025poserobustcalibrationstrategypointofgaze, title={Pose-Robust Calibration Strategy for Point-of-Gaze Estimation on Mobile Phones}, author={Yujie Zhao and Jiabei Zeng and Shiguang Shan}, year={2025}, eprint={2508.10268}, archivePrefix={arXiv}, primaryClass={cs.CV}, url={https://arxiv.org/abs/2508.10268}, } ```